﻿* Encoding: UTF-8.
* Mary Intuition, Gregory et al, Philosophical Psychology * 

*** Section: 3.1 Knowledge Pre-operation Responses ***
    
FILTER OFF.
USE ALL.
EXECUTE.


NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.

NPAR TESTS
  /CHISQUARE=Q1_mary_intuition
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.


* Gender* 
    
FILTER OFF.
USE ALL.
EXECUTE.

USE ALL.
COMPUTE filter_$=(GENDER = 1).
VARIABLE LABELS filter_$ 'GENDER = 1 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.

USE ALL.
COMPUTE filter_$=(GENDER = 2).
VARIABLE LABELS filter_$ 'GENDER = 2 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(GENDER < 3 & NOT(Q1_mary_intuition = 3)).
VARIABLE LABELS filter_$ 'GENDER < 3 & NOT(Q1_mary_intuition = 3) (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

CROSSTABS
  /TABLES=GENDER BY Q1_mary_intuition
  /FORMAT=AVALUE TABLES
  /STATISTICS=CHISQ 
  /CELLS=COUNT ROW ASRESID 
  /COUNT ROUND CELL.


* Education *
    
FILTER OFF.
USE ALL.
EXECUTE.

USE ALL.
COMPUTE filter_$=(EDUCATION = 1).
VARIABLE LABELS filter_$ 'EDUCATION = 1 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(EDUCATION = 2).
VARIABLE LABELS filter_$ 'EDUCATION = 2 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(EDUCATION = 3).
VARIABLE LABELS filter_$ 'EDUCATION = 3 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(EDUCATION = 4).
VARIABLE LABELS filter_$ 'EDUCATION = 4 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(EDUCATION = 5).
VARIABLE LABELS filter_$ 'EDUCATION = 5 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(NOT(Q1_mary_intuition = 3)).
VARIABLE LABELS filter_$ 'NOT(Q1_mary_intuition = 3) (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

CORRELATIONS
  /VARIABLES=Q1_mary_intuition EDUCATION
  /PRINT=TWOTAIL NOSIG FULL
  /MISSING=PAIRWISE.

* Age * 
    
FILTER OFF.
USE ALL.
EXECUTE.
    
USE ALL.
COMPUTE filter_$=(AGE = 1).
VARIABLE LABELS filter_$ 'AGE = 1 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(AGE = 2).
VARIABLE LABELS filter_$ 'AGE = 2 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(AGE = 3).
VARIABLE LABELS filter_$ 'AGE = 3 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(AGE = 4).
VARIABLE LABELS filter_$ 'AGE = 4 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(AGE = 5).
VARIABLE LABELS filter_$ 'AGE = 5 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(NOT(Q1_mary_intuition = 3)).
VARIABLE LABELS filter_$ 'NOT(Q1_mary_intuition = 3) (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

CORRELATIONS
  /VARIABLES=Q1_mary_intuition AGE
  /PRINT=TWOTAIL NOSIG FULL
  /MISSING=PAIRWISE.


* Race / Ethnicity *
    
FILTER OFF.
USE ALL.
EXECUTE.
    
USE ALL.
COMPUTE filter_$=(ETHNICITY = 1).
VARIABLE LABELS filter_$ 'ETHNICITY = 1 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(ETHNICITY = 2).
VARIABLE LABELS filter_$ 'ETHNICITY = 2 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(ETHNICITY = 3).
VARIABLE LABELS filter_$ 'ETHNICITY = 3 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(ETHNICITY = 4).
VARIABLE LABELS filter_$ 'ETHNICITY = 4 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(ETHNICITY = 5).
VARIABLE LABELS filter_$ 'ETHNICITY = 5 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /BINOMIAL (0.50)=Q1_mary_intuition (0)
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(NOT(Q1_mary_intuition = 3)).
VARIABLE LABELS filter_$ 'NOT(Q1_mary_intuition = 3) (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

CROSSTABS
  /TABLES=ETHNICITY BY Q1_mary_intuition
  /FORMAT=AVALUE TABLES
  /STATISTICS=CHISQ 
  /CELLS=COUNT ROW ASRESID 
  /COUNT ROUND CELL.


* Inclination to change Mary intuition *
    
FILTER OFF.
USE ALL.
EXECUTE.

NPAR TESTS
  /CHISQUARE=Q3_inclination_to_change
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.


USE ALL.
COMPUTE filter_$=(Q1_mary_intuition = 0).
VARIABLE LABELS filter_$ '(Q1_mary_intuition = 0) (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /CHISQUARE=Q3_inclination_to_change
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.


*** Section: 3.2 Imagination Pre-operation Responses ***
    

* Could Mary imagine *
    
FILTER OFF.
USE ALL.
EXECUTE.

NPAR TESTS
  /CHISQUARE=Q5_imagination_intuition
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.

* Could Mary imagine - inclination to change *
    
FILTER OFF.
USE ALL.
EXECUTE.

NPAR TESTS
  /CHISQUARE=Q7_imagination_inc_change
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.


*** Section: 3.3 Learning Post-operation Responses ***

* Did Mary learn *

FILTER OFF.
USE ALL.
EXECUTE.

NPAR TESTS
  /CHISQUARE=Q8_learn_intuition
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.

NPTESTS 
  /ONESAMPLE TEST (Q8_learn_intuition) BINOMIAL(TESTVALUE=0.5 SUCCESSCATEGORICAL=LIST(1) 
    SUCCESSCONTINUOUS=CUTPOINT(MIDPOINT)) 
  /MISSING SCOPE=ANALYSIS USERMISSING=EXCLUDE
  /CRITERIA ALPHA=0.05 CILEVEL=95  SEED=2000000.

USE ALL.
COMPUTE filter_$=(Q1_mary_intuition = 0).
VARIABLE LABELS filter_$ '(Q1_mary_intuition = 0) (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /CHISQUARE=Q8_learn_intuition
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.

NPTESTS 
  /ONESAMPLE TEST (Q8_learn_intuition) BINOMIAL(TESTVALUE=0.5 SUCCESSCATEGORICAL=LIST(1) 
    SUCCESSCONTINUOUS=CUTPOINT(MIDPOINT)) 
  /MISSING SCOPE=ANALYSIS USERMISSING=EXCLUDE
  /CRITERIA ALPHA=0.05 CILEVEL=95  SEED=2000000.


* Did Mary learn - inclination to change *
    
FILTER OFF.
USE ALL.
EXECUTE.

NPAR TESTS
  /CHISQUARE=Q10_learn_inc_change
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.

USE ALL.
COMPUTE filter_$=(Q8_learn_intuition = 1).
VARIABLE LABELS filter_$ 'Q8_learn_intuition = 1 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

NPAR TESTS
  /CHISQUARE=Q10_learn_inc_change
  /EXPECTED=EQUAL
  /MISSING ANALYSIS.

FILTER OFF.
USE ALL.
EXECUTE.

*** END ***

